This product is "Auto Chasing Turtle".
By autonomous control, this robot recognizes people's face and approaches to the detected human. The scene that it is working in real time can be seen by iPad. It is built by using Kinect as sensor and using Linaro kernel + Android + openFrameworks as application framework.
Makeblock mBot User Manual (Engligh Version)Una Tao
mBot is Makeblock's first educational STEM robot for kids, which raised over $285K on kickstarter with distinct features. With mBot, kids can learn programming, electronics and more at 1-2-3 steps. It can also provide opportunities to play and interaction with parents. Think about wall avoidance, IR controller, distant detect and more! Grab mBot here: http://www.makeblock.cc/mbot-blue-2-4g-version/
2 D.O.F Robotic Arm (SCARA Robot) using Arduino ProgrammingManpreet Singh
It is a PowerPoint presentation of the group project that I have made along with friends during my undergraduate degree. Hope it will be helpful for you.
Contents:
(1) Introduction
(2) Brief History
(3) Components
(4) Construction (Circuit Diagram)
(5) Working
(6) Arduino Code
(7) Future Scope
It was made with the help of the TinkerCAD platform. You may use this platform and run the given code in this PPT for a better understanding.
This product is "Auto Chasing Turtle".
By autonomous control, this robot recognizes people's face and approaches to the detected human. The scene that it is working in real time can be seen by iPad. It is built by using Kinect as sensor and using Linaro kernel + Android + openFrameworks as application framework.
Makeblock mBot User Manual (Engligh Version)Una Tao
mBot is Makeblock's first educational STEM robot for kids, which raised over $285K on kickstarter with distinct features. With mBot, kids can learn programming, electronics and more at 1-2-3 steps. It can also provide opportunities to play and interaction with parents. Think about wall avoidance, IR controller, distant detect and more! Grab mBot here: http://www.makeblock.cc/mbot-blue-2-4g-version/
2 D.O.F Robotic Arm (SCARA Robot) using Arduino ProgrammingManpreet Singh
It is a PowerPoint presentation of the group project that I have made along with friends during my undergraduate degree. Hope it will be helpful for you.
Contents:
(1) Introduction
(2) Brief History
(3) Components
(4) Construction (Circuit Diagram)
(5) Working
(6) Arduino Code
(7) Future Scope
It was made with the help of the TinkerCAD platform. You may use this platform and run the given code in this PPT for a better understanding.
How to build Open Hardware self-navigating car robotTomáš Jukin
Slides from my lecture at mDevCamp Prague 2016 about How to build a Open Hardware self-navigating car robot #Probee using RaspberryPi and Arduino, Multi-Agent Systems and actor programming in Ruby.
The presentation includes small overview of few AI techniques and a short introduction to Behavior Trees.
Source codes of the #Probee robot can be found at https://github.com/Juicymo/probee
Slides from my talk at DevFest Prague 2017 about few thoughts on a topic of "When a robot is smart enough" with examples how you can build one at home from Open Hardware components.
Ideas were demonstrated on a showcase of my #Probee smart robotic car build using #Arduino and #RaspberryPi.
All code is open source at https://github.com/Juicymo/iot-probee
Link to event: https://2017.devfest.cz/schedule/day1?sessionId=123
Talk was presented on 2017/11/04
#DevFestCZ #Probee
IoT Devices, Which One is Right for You to Learn? by Toni Haryanto (Codepolitan)Tech in Asia ID
Toni Haryanto is a Programmer & Writer at Codepolitan, a media that provides news around programming.
This slide was shared on Tech in Asia DevTalk x Codepolitan Meetup: “Get in Touch with Internet of Things” on 26 March 2016.
TIA DevTalk is a monthly event of TIA Dev Community-- a community for all developers and/ or engineer to create collaborative things that advanced the tech community and ecosystem.
Get updates about our dev events delivered straight to your inbox by signing up here: http://bit.ly/tia-dev ! Be the first to know when new information is available!
17.11.2012 Codemotion Venezia.
La casa aperta: domotica Open Source dal'hardware al software.
In questo talk racconteremo l'esperienza di realizzazione di un impianto di domotica interamente basato su tecnologie Open Source. L'impianto realizzato comprende il controllo di un impianto di riscaldamento a zone di temperatura, luci, finestre motorizzate e un sistema di rilevazione di presenza. Racconteremo come siamo partiti dall'hardware realizzato con Arduino fino ad arrivare alla piattaforma software basata su OSGI (openhab).
Im Rahmen einer kurzen Präsentation nach Pecha-Kucha Art (wenig Text, viele Bilder) und einer Live-Demo (am Freifunk Stand) möchte ich Einsteigern und Freifunkern gerne ein kleines Wochenendprojekt auf Basis der ESP8266 Platform vorstellen.
Konkret geht es um einen mobilen "Freifunk-Scanner", in dessen Herz ein ESP8266-201 schlägt, zu dem sich u.a. eine WLAN-Antenne, vier Buttons, ein 3,7v LiPo sowie ein kleines 1,8'' TFT Display und ein wenig Arduino Code gesellt. Im Rahmen des Vortrags möchte ich von der Problemstellung über die ersten Ideen einen Einblick in die ESP8266 Platform, sowie die Entwicklungsschritte dieses kleinen Projektes geben.
How to build Open Hardware self-navigating car robotTomáš Jukin
Slides from my lecture at mDevCamp Prague 2016 about How to build a Open Hardware self-navigating car robot #Probee using RaspberryPi and Arduino, Multi-Agent Systems and actor programming in Ruby.
The presentation includes small overview of few AI techniques and a short introduction to Behavior Trees.
Source codes of the #Probee robot can be found at https://github.com/Juicymo/probee
Slides from my talk at DevFest Prague 2017 about few thoughts on a topic of "When a robot is smart enough" with examples how you can build one at home from Open Hardware components.
Ideas were demonstrated on a showcase of my #Probee smart robotic car build using #Arduino and #RaspberryPi.
All code is open source at https://github.com/Juicymo/iot-probee
Link to event: https://2017.devfest.cz/schedule/day1?sessionId=123
Talk was presented on 2017/11/04
#DevFestCZ #Probee
IoT Devices, Which One is Right for You to Learn? by Toni Haryanto (Codepolitan)Tech in Asia ID
Toni Haryanto is a Programmer & Writer at Codepolitan, a media that provides news around programming.
This slide was shared on Tech in Asia DevTalk x Codepolitan Meetup: “Get in Touch with Internet of Things” on 26 March 2016.
TIA DevTalk is a monthly event of TIA Dev Community-- a community for all developers and/ or engineer to create collaborative things that advanced the tech community and ecosystem.
Get updates about our dev events delivered straight to your inbox by signing up here: http://bit.ly/tia-dev ! Be the first to know when new information is available!
17.11.2012 Codemotion Venezia.
La casa aperta: domotica Open Source dal'hardware al software.
In questo talk racconteremo l'esperienza di realizzazione di un impianto di domotica interamente basato su tecnologie Open Source. L'impianto realizzato comprende il controllo di un impianto di riscaldamento a zone di temperatura, luci, finestre motorizzate e un sistema di rilevazione di presenza. Racconteremo come siamo partiti dall'hardware realizzato con Arduino fino ad arrivare alla piattaforma software basata su OSGI (openhab).
Im Rahmen einer kurzen Präsentation nach Pecha-Kucha Art (wenig Text, viele Bilder) und einer Live-Demo (am Freifunk Stand) möchte ich Einsteigern und Freifunkern gerne ein kleines Wochenendprojekt auf Basis der ESP8266 Platform vorstellen.
Konkret geht es um einen mobilen "Freifunk-Scanner", in dessen Herz ein ESP8266-201 schlägt, zu dem sich u.a. eine WLAN-Antenne, vier Buttons, ein 3,7v LiPo sowie ein kleines 1,8'' TFT Display und ein wenig Arduino Code gesellt. Im Rahmen des Vortrags möchte ich von der Problemstellung über die ersten Ideen einen Einblick in die ESP8266 Platform, sowie die Entwicklungsschritte dieses kleinen Projektes geben.
14. Arduino FIO
Microcontroller ATmega328P
Operating Voltage 3.3V
Input Voltage 3.35 -12 V
Summary
Input Voltage for Charge 3.7 - 7 V
Digital I/O Pins 14 (of which 6 provide PWM output)
Analog Input Pins 8
DC Current per I/O Pin 40 mA
Flash Memory 32 KB (of which 2 KB used by bootloader)
SRAM 2 KB
2500 EEPROM
Clock Speed
1 KB
8 MHz
XBee
Input (8 )
I/O (14 )
PWM (6 )